Custom Cooking Program Encoding for Uniform Heating
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Solution Overview
Problem
Conventional pre-packaged convenience meals are often unhealthy, lack taste, and can be heated unevenly, making them inconvenient and unsatisfying, while traditional cooking methods require time and skill to extract flavors effectively.
Innovation Solution
A method and system for encoding a custom cooking program using sensor readings to determine food characteristics, generating tailored cooking instructions, and storing them for precise heating phases, allowing for efficient and flavorful cooking without manual skill or lengthy processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional pre-packaged convenience meals are heated in microwave or oven, then preparation time is reduced and convenience is improved, but heating uniformity deteriorates and food quality becomes inconsistent
Solution Approach 1:
The system performs preliminary actions by pre-determining optimal heating parameters (power levels, time sequences, phase durations) and encoding them directly on the packaging. This allows the consumer to simply follow the pre-programmed instructions without needing to manually adjust settings, ensuring consistent heating results while maintaining convenience.
Solution Approach 2:
The system incorporates feedback mechanisms where sensor readings during heating are used to adjust subsequent heating phases. The controller monitors temperature, power consumption, and heating progress, then dynamically modifies the heating program to achieve uniform cooking results across different microwave and oven types.
2Reliability
If traditional cooking methods are used to extract flavors from ingredients, then food taste and quality are improved, but time consumption and skill requirements increase
Solution Approach 1:
The cooking process is segmented into multiple distinct phases (e.g., browning phase, steaming phase, resting phase), each optimized for specific flavor extraction objectives. By dividing the overall cooking process into targeted segments with specific power levels and durations, the system achieves traditional cooking quality without requiring the full time investment or skill level of conventional methods.
Solution Approach 2:
The system dynamically changes heating parameters (power level, temperature, time duration) throughout the cooking process to replicate traditional cooking techniques. By adjusting these parameters in sequence - such as high power for browning followed by low power for gentle steaming - the system extracts flavors effectively while significantly reducing total cooking time and eliminating the need for skilled manual intervention.
3Manufacturing precision
If custom cooking programs are generated based on sensor readings, then cooking precision and food quality are improved, but system complexity and encoding requirements increase
Solution Approach 1:
The system uses a universal encoding format that can represent multiple cooking programs and parameters in a standardized manner. The same packaging structure and controller architecture can handle various food types and cooking methods by simply changing the encoded program data, rather than requiring different hardware configurations for each cooking scenario.
Solution Approach 2:
Instead of implementing complex real-time sensing and decision-making hardware in every appliance, the system copies the intelligence into the packaging itself through encoded cooking programs. The sensor readings and processing logic are pre-computed and stored on the package, allowing any compatible microwave or oven to execute the precise cooking program without needing sophisticated onboard intelligence.
Data Source
AI summary
In various embodiments, a method of encoding a custom cooking program includes receiving at least one sensor reading associated with food, determining at least one characteristic of the food based on the at least one sensor reading, generating cooking instructions for the food based on the at least one characteristic, and storing data that associates the cooking instructions with the food.